Senior Business Analyst, Technical Services

Mongo

DB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, Mongo

DB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlasallows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use Mongo

DB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust Mongo

DB to build next-generation, AI-powered applications.

Partnering with stakeholders in the Technical Services (post-sales support) team, Analytics team, and other teams around the business, this role will surface key insights to drive business decision making. This role requires someone with strong analytical and technical skills, operational experience driving efficiencies, ability to apply a data-first mindset to strategic initiatives, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment.

At Mongo

DB, we are guided by our values:
Think Big, Go Far;
Make it Matter;
Build Together;
Embrace the Power of Difference;
Be Intellectually Honest;
Own What You Do. We are looking for a candidate who is passionate about understanding and communicating customer experiences and business performance through data, and will do so in alignment with our values.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

• Lead in-depth analyses of Technical Services’ business processes, pricing models, and deal structures, including the mechanics of complex transactions; develop strategic insights and solutions that support business scaling and profitability goals
• Collaborate closely with FP&A to integrate financial and budget considerations into headcount planning and resource allocation for Technical Services, aligning operational initiatives with broader fiscal objectives
• Facilitate and drive strategic alignment with executive stakeholders, incorporating FP&A insights and objectives
• Partner with cross-functional leadership to assess and influence corporate initiatives' impact on Technical Services; develop readiness plans and restructuring proposals to support sustainable business growth
• Architect robust data pipelines in collaboration with Data Analysis, Engineering, and Architecture teams, ensuring the standardization, quality, and precision of data needed for sophisticated business analytics
• Consult with stakeholders to define strategic data and reporting needs; design advanced dashboards that enable stakeholders to self-serve critical insights for planning performance evaluations and initiative assessments
• Strengthening team capabilities in FP&A analysis, deal mechanics evaluation, and cross-functional collaboration

• 10+ years of hands-on analytics and business reporting experience (or 5+ years of experience with MBA or equivalent degree), ideally within or partnering with customer-facing organizations
• Skilled in cleaning, transforming, and integrating data through programmatic methods like Python and SQL, with a demonstrated ability to support advanced FP&A models and planning tools
• Extensive understanding of complex sales processes, SaaS subscriptions, and deal mechanics with proven skills in employing data analysis techniques to inform high-level executive decisions
• Proven experience working with senior management and effectively presenting to executive leadership, particularly concerning FP&A strategies, headcount forecasting, and strategic deal structuring
• Ability to extract and communicate actionable insights from diverse data sets, driving recommendations and strategic planning discussions
• Demonstrated interest and experience in scoping and building data sets and data products leveraging artificial intelligence…